| Title |
Alevin efficiently estimates accurate gene abundances from dscRNA-seq data
|
|---|---|
| Published in |
Genome Biology, March 2019
|
| DOI | 10.1186/s13059-019-1670-y |
| Pubmed ID | |
| Authors |
Avi Srivastava, Laraib Malik, Tom Smith, Ian Sudbery, Rob Patro |
X Demographics
The data shown below were collected from the profiles of 63 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 23 | 37% |
| United Kingdom | 7 | 11% |
| Germany | 6 | 10% |
| Australia | 2 | 3% |
| China | 2 | 3% |
| Switzerland | 2 | 3% |
| France | 1 | 2% |
| Singapore | 1 | 2% |
| Sri Lanka | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 15 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 40 | 63% |
| Members of the public | 21 | 33% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 209 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 52 | 25% |
| Researcher | 44 | 21% |
| Student > Master | 19 | 9% |
| Student > Bachelor | 18 | 9% |
| Student > Postgraduate | 10 | 5% |
| Other | 19 | 9% |
| Unknown | 47 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 73 | 35% |
| Agricultural and Biological Sciences | 39 | 19% |
| Medicine and Dentistry | 11 | 5% |
| Computer Science | 7 | 3% |
| Immunology and Microbiology | 6 | 3% |
| Other | 21 | 10% |
| Unknown | 52 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 46. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 March 2023.
All research outputs
#919,288
of 25,837,817 outputs
Outputs from Genome Biology
#620
of 4,506 outputs
Outputs of similar age
#21,129
of 366,372 outputs
Outputs of similar age from Genome Biology
#20
of 59 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 366,372 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.